Diagnostic accuracy of arterial spin labeling in differentiating between primary central nervous system lymphoma and high-grade glioma: a systematic review and meta-analysis

Abstract

ABSTRACT Background Existing studies have confirmed the accuracy of arterial spin labeling (ASL) in differentiating between primary central nervous system lymphoma (PCNSL) and high-grade glioma (HGG). We aimed to consolidate the existing evidence with a meta-analysis. Methods Six literature databases were searched for relevant papers. After assessing the quality of studies, bivariate regression was performed, and the pooled sensitivity (SEN), specificity (SPE), positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic score, diagnostic odds ratio (DOR), and the area under the curve (AUC) of the summary receiver operating characteristic (SROC) curve were calculated, along with the corresponding 95% confidence intervals (CIs). Deeks’ test was used to determine risk of publication bias. Results Ten high-quality studies, comprising 151 patients with PCNSL and 455 with HGG, were included. The pooled SEN was 0.79 (95% CI: 0.72–0.85), pooled SPE was 0.90 (95% CI: 0.84–0.94), pooled PLR was 8.07 (95% CI: 5.01–13.02), pooled NLR was 0.23 (95% CI: 0.17–0.32), pooled diagnostic score was 3.56 (95% CI: 2.94–4.18), and pooled DOR was 35.10 (95% CI: 18.83–65.45). The AUC of SROC was 0.86 (95% CI: 0.83–0.89). No publication bias was found. Conclusions ASL demonstrated high diagnostic accuracy in differentiating between PCNSL and HGG.